IoT-AUTO-Industrial UNS Data Modeler - Remote, ~25% travel to client site, all expenses paid as incurred

IoT-AUTO-Industrial UNS Data Modeler - Remote, ~25% travel to client site, all expenses paid as incurred

Requisition Name: IoT-AUTO-Industrial UNS Data Modeler

Start Date: 5/19/2025

Duration: 32 Weeks

Services Location: KY/Georgetown / Remote, ~25% travel to client site, all expenses paid as incurred

Description Of Services:
We are looking for an experienced Unified Namespace (UNS) Data Modeler to design, structure, and maintain data models that support real-time, contextualized data flow within our enterprise-wide UNS architecture. In this role, you will define how industrial data is represented, named, and organized to enable seamless integration across OT and IT systems and support analytics, automation, and decision-making. You will work at the intersection of operations, data engineering, and industrial automation to ensure that data from machines, processes, and systems is structured semantically and consistently across the enterprise.

Deliverables:
Data Modeling & Taxonomy Development o Develop and maintain logical and physical data models for the UNS, including hierarchical topic structures, metadata schemas, and contextual relationships. o Apply ISA-95 and other standards to define consistent information models across equipment, processes, and enterprise functions. o Model real-time data using Sparkplug B or similar protocols for semantic interoperability. Namespace Governance o Define and enforce naming conventions, tag standards, and data object hierarchies within the UNS. o Collaborate with teams to define a process and manage changes to data models and ensure alignment with organizational data governance policies. Cross-Functional Collaboration o Work with automation engineers, IT, data scientists, business analysts and manufacturing personnel to translate operational needs into semantic models. o Act as the subject matter expert for contextual data structuring in MQTT-based architectures. Quality & Optimization o Ensure data integrity, consistency, and completeness across all layers of the namespace. o Recommend improvements to namespace performance, usability, and scalability. Documentation & Communication o Maintain comprehensive documentation of models, metadata, and semantic structures. o Provide training and support to teams consuming data from the UNS.